10 citations · 17 across the 6 of their papers we have counts for
4 papers · 1 filter
Modified watershed approach for segmentation of complex optical coherence tomographic images
Maryam Viqar, Violeta Madjarova, Elena Stoykova
Watershed segmentation method has been used in various applications. But many a times, due to its over-segmentation attributes, it underperforms in several tasks where noise is a d…
Opto-UNet: Optimized UNet for Segmentation of Varicose Veins in Optical Coherence Tomography
Maryam Viqar, Violeta Madjarova, Vipul Baghel +1
Human veins are important for carrying the blood from the body-parts to the heart. The improper functioning of the human veins may arise from several venous diseases. Varicose vein…
Frequency-domain Blind Quality Assessment of Blurred and Blocking-artefact Images using Gaussian Process Regression model
Maryam Viqar, Athar A. Moinuddin, Ekram Khan +1
Most of the standard image and video codecs are block-based and depending upon the compression ratio the compressed images/videos suffer from different distortions. At low ratios,…
Deep Learning based Segmentation of Optical Coherence Tomographic Images of Human Saphenous Varicose Vein
Maryam Viqar, Violeta Madjarova, Amit Kumar Yadav +2
Deep-learning based segmentation model is proposed for Optical Coherence Tomography images of human varicose vein based on the U-Net model employing atrous convolution with residua…